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Summarization
Transformers
TensorBoard
Safetensors
mt5
text2text-generation
mT5
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xet
Metrics Community
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@@ -198,25 +198,18 @@ The following hyperparameters were used during training:
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  This model achieves the following results on the evaluation set:
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- | Метрика | Значение |
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- |----------------------------|---------------|
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- | Training Loss | 0.4487 |
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- | Epoch | 4.0 |
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- | Step | 20496 |
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- | Evaluation Loss | 0.2748 |
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- | Eval Title ROUGE-1 | 0.1373 |
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- | Eval Title ROUGE-2 | 0.0489 |
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- | Eval Title ROUGE-L | 0.1220 |
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- | Eval Resume ROUGE-1 | 0.0016 |
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- | Eval Resume ROUGE-2 | 0.0005 |
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- | Eval Resume ROUGE-L | 0.0015 |
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- | Evaluation Runtime (s) | 3433.4702 |
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- | Evaluation Samples/Sec | 9.37 |
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- | Evaluation Steps/Sec | 1.562 |
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  ### Framework versions
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  This model achieves the following results on the evaluation set:
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+ | Metric | Significance | ROUGE-1 | ROUGE-2 | ROUGE-L |
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+ |---------------------------|------------------------|--------------------|--------------------|--------------------|
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+ | Training Loss | 0.4487 | - | - | - |
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+ | Epoch | 4.0 | - | - | - |
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+ | Step | 20496 | - | - | - |
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+ | Evaluation Runtime (s) | 3433.4702 | - | - | - |
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+ | Evaluation Samples/Sec | 9.37 | - | - | - |
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+ | Evaluation Steps/Sec | 1.562 | - | - | - |
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+ | Evaluation Loss | 0.2748 | - | - | - |
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+ | Evaluation Title | - | 0.1373 | 0.0489 | 0.1220 |
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+ | Evaluation Resume | - | 0.0016 | 0.0005 | 0.0015 |
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+ """
 
 
 
 
 
 
 
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  ### Framework versions
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